The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Report Printed On 

## [1] "2020-04-25"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "2896746 (up from 2810715 yesterday: 3.06 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "202846 (up from 197151 yesterday: 2.89 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 7



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 938154 32821 3.63 53755 1806 3.48 5.73
Spain 223759 3995 1.82 22902 378 1.68 10.24
Italy 195351 2357 1.22 26384 415 1.60 13.51
France 161644 1692 1.06 22648 369 1.66 14.01
Germany 156513 1514 0.98 5877 117 2.03 3.75
United Kingdom 149569 4929 3.41 20381 814 4.16 13.63
Turkey 107773 2861 2.73 2706 106 4.08 2.51
Iran 89328 1134 1.29 5650 76 1.36 6.33
China 83909 10 0.01 4636 0 0.00 5.53
Russia 74588 5966 8.69 681 66 10.73 0.91
Brazil 59324 5281 9.77 4057 353 9.53 6.84
Canada 45493 1437 3.26 2549 163 6.83 5.60
Belgium 45325 1032 2.33 6917 238 3.56 15.26
Netherlands 37384 655 1.78 4424 120 2.79 11.83
Switzerland 28894 217 0.76 1599 10 0.63 5.53
India 26283 1753 7.15 825 45 5.77 3.14
Peru 25331 3683 17.01 700 66 10.41 2.76
Portugal 23392 595 2.61 880 26 3.04 3.76
Ecuador 22719 0 0.00 576 0 0.00 2.54
Ireland 18561 377 2.07 1063 49 4.83 5.73
Sweden 18177 610 3.47 2192 40 1.86 12.06
Saudi Arabia 16299 1197 7.93 136 9 7.09 0.83
Israel 15298 240 1.59 199 5 2.58 1.30
Austria 15148 77 0.51 536 6 1.13 3.54
Mexico 13842 970 7.54 1305 84 6.88 9.43
Japan 13231 402 3.13 360 15 4.35 2.72
Chile 12858 552 4.49 181 7 4.02 1.41
Pakistan 12723 783 6.56 269 16 6.32 2.11
Singapore 12693 618 5.12 12 0 0.00 0.09
Poland 11273 381 3.50 524 30 6.07 4.65
Korea, South 10728 10 0.09 242 2 0.83 2.26
Romania 10635 218 2.09 601 34 6.00 5.65
United Arab Emirates 9813 532 5.73 71 7 10.94 0.72
Belarus 9590 817 9.31 67 4 6.35 0.70
Qatar 9358 833 9.77 10 0 0.00 0.11
Denmark 8643 235 2.79 418 15 3.72 4.84
Indonesia 8607 396 4.82 720 31 4.50 8.37
Ukraine 8125 478 6.25 201 8 4.15 2.47
Norway 7499 36 0.48 201 2 1.01 2.68
Czechia 7352 79 1.09 218 4 1.87 2.97
Philippines 7294 102 1.42 494 17 3.56 6.77
Australia 6694 17 0.25 80 1 1.27 1.20
Serbia 6630 0 0.00 125 0 0.00 1.89
Dominican Republic 5926 177 3.08 273 6 2.25 4.61
Malaysia 5742 51 0.90 98 2 2.08 1.71
Panama 5538 200 3.75 159 5 3.25 2.87
Colombia 5142 261 5.35 233 8 3.56 4.53
Bangladesh 4998 309 6.59 140 9 6.87 2.80
Finland 4475 80 1.82 186 9 5.08 4.16
South Africa 4361 141 3.34 86 7 8.86 1.97
Egypt 4319 227 5.55 307 13 4.42 7.11
Morocco 3897 139 3.70 159 1 0.63 4.08
Argentina 3780 173 4.80 185 9 5.11 4.89
Luxembourg 3711 16 0.43 85 0 0.00 2.29
Moldova 3304 194 6.24 94 10 11.90 2.85
Algeria 3256 129 4.13 419 4 0.96 12.87
Thailand 2907 0 0.00 51 0 0.00 1.75
Kuwait 2892 278 10.64 19 4 26.67 0.66
Kazakhstan 2601 119 4.79 25 0 0.00 0.96
Bahrain 2588 70 2.78 8 0 0.00 0.31
Greece 2506 16 0.64 130 0 0.00 5.19
Hungary 2443 0 0.00 262 0 0.00 10.72
Croatia 2016 7 0.35 54 3 5.88 2.68
Oman 1905 115 6.42 10 0 0.00 0.52
Uzbekistan 1862 58 3.22 8 0 0.00 0.43
Iceland 1790 1 0.06 10 0 0.00 0.56
Iraq 1763 55 3.22 86 0 0.00 4.88
Armenia 1677 81 5.08 28 1 3.70 1.67
Estonia 1635 30 1.87 46 0 0.00 2.81
Azerbaijan 1617 25 1.57 21 0 0.00 1.30
Cameroon 1518 88 6.15 53 10 23.26 3.49
Bosnia and Herzegovina 1486 65 4.57 57 2 3.64 3.84
New Zealand 1470 9 0.62 18 0 0.00 1.22
Afghanistan 1463 112 8.29 47 4 9.30 3.21
Lithuania 1426 16 1.13 41 1 2.50 2.88
Slovenia 1388 15 1.09 81 1 1.25 5.84
Slovakia 1373 13 0.96 17 0 0.00 1.24
North Macedonia 1367 41 3.09 59 2 3.51 4.32
Cuba 1337 52 4.05 51 2 4.08 3.81
Ghana 1279 0 0.00 10 0 0.00 0.78
Bulgaria 1247 13 1.05 55 1 1.85 4.41
Nigeria 1182 87 7.95 35 3 9.38 2.96
Cote d’Ivoire 1077 0 0.00 14 0 0.00 1.30
Djibouti 1008 9 0.90 2 0 0.00 0.20

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 282143 10553 3.89 22009 598 2.79 7.80 14503.41 1131.36 1 in 69
New Jersey 105498 3302 3.23 5914 231 4.06 5.61 11877.48 665.83 1 in 84
Massachusetts 53348 2379 4.67 2730 174 6.81 5.12 7676.52 392.83 1 in 130
California 42368 1013 2.45 1689 68 4.19 3.99 1072.28 42.75 1 in 933
Illinois 41777 2119 5.34 1875 80 4.46 4.49 3296.84 147.97 1 in 303
Pennsylvania 41153 945 2.35 1793 46 2.63 4.36 3214.58 140.06 1 in 311
Michigan 37074 433 1.18 3155 70 2.27 8.51 3712.28 315.92 1 in 269
Florida 30839 306 1.00 1055 9 0.86 3.42 1435.86 49.12 1 in 696
Louisiana 26512 372 1.42 1707 47 2.83 6.44 5702.98 367.19 1 in 175
Connecticut 24583 647 2.70 1865 98 5.55 7.59 6895.10 523.10 1 in 145
Texas 24153 511 2.16 638 14 2.24 2.64 832.98 22.00 1 in 1201
Georgia 23222 731 3.25 907 8 0.89 3.91 2187.16 85.43 1 in 457
Maryland 17766 1150 6.92 875 77 9.65 4.93 2938.63 144.73 1 in 340
Ohio 15587 418 2.76 711 21 3.04 4.56 1333.46 60.83 1 in 750
Indiana 14399 718 5.25 786 45 6.07 5.46 2138.82 116.75 1 in 468
Washington 13319 342 2.64 737 15 2.08 5.53 1749.07 96.78 1 in 572
Colorado 12968 712 5.81 684 10 1.48 5.27 2251.88 118.78 1 in 444
Virginia 12366 772 6.66 437 26 6.33 3.53 1448.77 51.20 1 in 690
Tennessee 9189 461 5.28 177 8 4.73 1.93 1344.76 25.90 1 in 744
North Carolina 8768 478 5.77 305 11 3.74 3.48 836.00 29.08 1 in 1196
Rhode Island 7129 430 6.42 215 13 6.44 3.02 6729.53 202.95 1 in 149
Missouri 6935 147 2.17 281 9 3.31 4.05 1129.95 45.78 1 in 885
Arizona 6286 241 3.99 273 7 2.63 4.34 825.49 35.85 1 in 1211
Alabama 6026 0 0.00 209 0 0.00 3.47 1229.00 42.63 1 in 814
Mississippi 5718 284 5.23 221 12 5.74 3.86 1921.27 74.26 1 in 520
Wisconsin 5687 331 6.18 266 3 1.14 4.68 976.74 45.69 1 in 1024
South Carolina 5253 183 3.61 166 9 5.73 3.16 1020.25 32.24 1 in 980
Iowa 5092 647 14.56 112 5 4.67 2.20 1613.91 35.50 1 in 620
Nevada 4539 141 3.21 205 8 4.06 4.52 1473.63 66.56 1 in 679
Utah 3948 166 4.39 41 2 5.13 1.04 1231.46 12.79 1 in 812
Kentucky 3915 136 3.60 205 5 2.50 5.24 876.30 45.89 1 in 1141
District of Columbia 3699 171 4.85 165 12 7.84 4.46 5241.24 233.79 1 in 191
Delaware 3576 134 3.89 112 12 12.00 3.13 3672.35 115.02 1 in 272
Minnesota 3446 261 8.19 244 23 10.41 7.08 611.03 43.27 1 in 1637
Oklahoma 3194 73 2.34 194 6 3.19 6.07 807.18 49.03 1 in 1239
Kansas 3135 176 5.95 120 2 1.69 3.83 1076.09 41.19 1 in 929
Arkansas 2911 101 3.59 48 1 2.13 1.65 964.60 15.91 1 in 1037
Nebraska 2719 295 12.17 50 0 0.00 1.84 1405.60 25.85 1 in 711
New Mexico 2660 139 5.51 93 9 10.71 3.50 1268.58 44.35 1 in 788
Oregon 2253 76 3.49 87 1 1.16 3.86 534.17 20.63 1 in 1872
South Dakota 2147 107 5.25 10 0 0.00 0.47 2426.92 11.30 1 in 412
Idaho 1887 17 0.91 56 2 3.70 2.97 1052.98 31.25 1 in 950
New Hampshire 1797 77 4.48 53 0 0.00 2.95 1321.60 38.98 1 in 757
Puerto Rico 1307 31 2.43 83 6 7.79 6.35 409.24 25.99 1 in 2444
West Virginia 1010 0 0.00 32 0 0.00 3.17 565.15 17.91 1 in 1769
Maine 965 0 0.00 47 0 0.00 4.87 717.89 34.96 1 in 1393
Vermont 843 16 1.93 46 2 4.55 5.46 1350.99 73.72 1 in 740
North Dakota 803 55 7.35 16 1 6.67 1.99 1053.72 21.00 1 in 949
Hawaii 605 4 0.67 13 0 0.00 2.15 427.30 9.18 1 in 2340
Wyoming 491 18 3.81 7 0 0.00 1.43 848.37 12.09 1 in 1179
Montana 445 1 0.23 14 0 0.00 3.15 416.36 13.10 1 in 2402
Alaska 339 0 0.00 9 0 0.00 2.65 463.40 12.30 1 in 2158

US Tested- Confirmed- Hospitalized Funnel (All States)

State Level Figures

State Tested Confirmed Hospitalized ConfirmationRate HospitalizationRate TestsPerMillPopl
New York 777568 282143 57103 36.29 20.24 39970.47
New Jersey 213686 105498 6722 49.37 6.37 24057.81
Massachusetts 226845 53348 4965 23.52 9.31 32641.90
California 506035 42368 4847 8.37 11.44 12807.05
Illinois 201617 41777 4699 20.72 11.25 15910.66
Pennsylvania 192935 41153 2748 21.33 6.68 15070.71
Michigan 144044 37074 2889 25.74 7.79 14423.36
Florida 333099 30839 5045 9.26 16.36 15509.04
Louisiana 139002 26512 1700 19.07 6.41 29900.66
Connecticut 77602 24583 1810 31.68 7.36 21765.99
Texas 262816 24153 1597 9.19 6.61 9063.91
Georgia 119014 23222 4326 19.51 18.63 11209.31
Maryland 89123 17766 3760 19.93 21.16 14741.60
Ohio 111379 15587 3115 13.99 19.98 9528.45
Indiana 79774 14399 1515 18.05 10.52 11849.58
Washington 160324 13319 455 8.31 3.42 21054.01
Colorado 56789 12968 2366 22.84 18.24 9861.37
Virginia 72178 12366 1942 17.13 15.70 8456.19
Tennessee 141406 9189 821 6.50 8.93 20694.04
North Carolina 105265 8768 456 8.33 5.20 10036.63
Rhode Island 50891 7129 576 14.01 8.08 48039.34
Missouri 67218 6935 850 10.32 12.26 10952.14
Arizona 62508 6286 1022 10.06 16.26 8208.65
Alabama 71344 6026 839 8.45 13.92 14550.54
Mississippi 58957 5718 996 9.70 17.42 19809.83
Wisconsin 62825 5687 1376 9.05 24.20 10790.16
South Carolina 49014 5253 944 10.72 17.97 9519.66
Iowa 34350 5092 293 14.82 5.75 10887.24
Nevada 37208 4539 NA 12.20 NA 12079.91
Utah 90206 3948 329 4.38 8.33 28136.99
Kentucky 44962 3915 1143 8.71 29.20 10063.85
District of Columbia 17302 3699 402 21.38 10.87 24515.80
Delaware 17698 3576 300 20.21 8.39 18174.83
Minnesota 59699 3446 797 5.77 23.13 10585.62
Oklahoma 53084 3194 637 6.02 19.94 13415.31
Kansas 25199 3135 474 12.44 15.12 8649.60
Arkansas 38053 2911 291 7.65 10.00 12609.41
Nebraska 19973 2719 NA 13.61 NA 10325.12
New Mexico 51510 2660 412 5.16 15.49 24565.67
Oregon 47377 2253 536 4.76 23.79 11232.80
South Dakota 15596 2147 128 13.77 5.96 17629.39
Idaho 19361 1887 168 9.75 8.90 10803.74
New Hampshire 17727 1797 224 10.14 12.47 13037.33
Puerto Rico 10620 1307 NA 12.31 NA 3325.30
West Virginia 32966 1010 97 3.06 9.60 18446.16
Maine 17774 965 156 5.43 16.17 13222.62
Vermont 14682 843 37 5.74 4.39 23529.26
North Dakota 19350 803 70 4.15 8.72 25391.63
Hawaii 28040 605 67 2.16 11.07 19804.05
Wyoming 8146 491 54 6.03 11.00 14074.94
Montana 12497 445 61 3.56 13.71 11692.79
Alaska 15732 339 32 2.15 9.44 21505.17

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 7628 811 11.90 1076 14.11 6229 323 22 7.31 4.23
Gujarat 3071 0 0.00 282 9.18 2656 133 0 0.00 4.33
Delhi 2625 111 4.42 869 33.10 1702 54 1 1.89 2.06
Rajasthan 2142 81 3.93 513 23.95 1595 34 1 3.03 1.59
Madhya Pradesh 1945 0 0.00 281 14.45 1565 99 0 0.00 5.09
Tamil Nadu 1821 0 0.00 960 52.72 838 23 0 0.00 1.26
Uttar Pradesh 1793 0 0.00 261 14.56 1505 27 0 0.00 1.51
Andhra Pradesh 1016 0 0.00 171 16.83 814 31 0 0.00 3.05
Telangana 990 7 0.71 307 31.01 658 25 0 0.00 2.53
West Bengal 571 0 0.00 103 18.04 450 18 0 0.00 3.15
Karnataka 500 0 0.00 158 31.60 324 18 0 0.00 3.60
Jammu and Kashmir 494 0 0.00 112 22.67 376 6 0 0.00 1.21
Kerala 458 0 0.00 338 73.80 116 4 0 0.00 0.87
Punjab 308 0 0.00 72 23.38 219 17 0 0.00 5.52
Haryana 287 0 0.00 191 66.55 93 3 0 0.00 1.05
Bihar 251 9 3.72 45 17.93 204 2 0 0.00 0.80
Odisha 103 9 9.57 34 33.01 68 1 0 0.00 0.97
Jharkhand 67 4 6.35 8 11.94 56 3 0 0.00 4.48
Uttarakhand 48 0 0.00 26 54.17 22 0 0 NaN 0.00
Himachal Pradesh 40 0 0.00 23 57.50 15 2 0 0.00 5.00
Chhattisgarh 37 0 0.00 32 86.49 5 0 0 NaN 0.00
Assam 36 0 0.00 19 52.78 16 1 0 0.00 2.78
Andaman and Nicobar Islands 33 0 0.00 11 33.33 22 0 0 NaN 0.00
Chandigarh 28 0 0.00 15 53.57 13 0 0 NaN 0.00
Ladakh 20 0 0.00 16 80.00 4 0 0 NaN 0.00
Meghalaya 12 0 0.00 0 0.00 11 1 0 0.00 8.33
Puducherry 8 0 0.00 4 50.00 4 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Tripura 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli 0 0 NaN 0 NaN 0 0 0 NaN NaN
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 326940 71969 713 1.00 22.01 8489 724 34473 13269 18.44
Piemonte 131107 24426 604 2.54 18.63 2937 238 15502 2767 11.33
Emilia-Romagna 156883 24209 239 1.00 15.43 2718 246 12347 3347 13.83
Veneto 306977 17391 162 0.94 5.67 1105 129 9432 1288 7.41
Toscana 125495 9015 138 1.55 7.18 687 166 6146 760 8.43
Liguria 41125 7301 128 1.78 17.75 759 83 3433 1093 14.97
Lazio 118354 6224 92 1.50 5.26 1421 183 4561 387 6.22
Marche 50996 6058 30 0.50 11.88 689 58 3272 874 14.43
Campania 64521 4299 17 0.40 6.66 543 55 2935 341 7.93
Puglia 54628 3912 31 0.80 7.16 469 48 2919 391 9.99
P.A. Trento 30661 3838 62 1.64 12.52 202 27 1744 400 10.42
Sicilia 68251 3020 39 1.31 4.42 452 33 2272 224 7.42
Friuli Venezia Giulia 58375 2903 21 0.73 4.97 122 15 1084 263 9.06
Abruzzo 33624 2832 29 1.03 8.42 323 26 2061 293 10.35
P.A. Bolzano 36608 2476 20 0.81 6.76 141 14 1035 265 10.70
Umbria 31939 1366 3 0.22 4.28 95 18 297 63 4.61
Sardegna 20351 1271 14 1.11 6.25 96 18 794 103 8.10
Valle d’Aosta 5966 1100 0 0.00 18.44 83 6 313 130 11.82
Calabria 29959 1088 9 0.83 3.63 125 7 811 80 7.35
Basilicata 9792 361 1 0.28 3.69 58 7 218 25 6.93
Molise 5191 292 5 1.74 5.63 19 1 198 21 7.19

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 23267 651 2.88 1446 106 7.91 6.21 2725.22 169.37 1 in 367
Ontario 15012 462 3.18 916 54 6.26 6.10 1020.40 62.26 1 in 980
Alberta 4233 216 5.38 73 1 1.39 1.72 959.18 16.54 1 in 1043
British Columbia 1948 95 5.13 100 2 2.04 5.13 381.14 19.57 1 in 2624
Saskatchewan 349 8 2.35 4 0 0.00 1.15 295.35 3.39 1 in 3386
Manitoba 267 4 1.52 6 0 0.00 2.25 193.83 4.36 1 in 5159
Newfoundland and Labrador 257 1 0.39 3 0 0.00 1.17 492.94 5.75 1 in 2029
New Brunswick 118 0 0.00 0 0 NaN 0.00 151.28 0.00 1 in 6610
Prince Edward Island 26 0 0.00 0 0 NaN 0.00 164.39 0.00 1 in 6083
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1586 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1037 4 0.39
Hunan 1019 4 0.39
Anhui 991 6 0.61
Jiangxi 937 1 0.11
Heilongjiang 935 13 1.39
Shandong 787 7 0.89
Jiangsu 653 0 0.00
Shanghai 642 7 1.09
Beijing 593 8 1.35
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 355 1 0.28
Hebei 328 6 1.83
Shaanxi 286 3 1.05
Guangxi 254 2 0.79
Inner Mongolia 198 1 0.51
Shanxi 197 0 0.00
Tianjin 190 3 1.58
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 109 1 0.92
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 2867.22 164.29 1 in 349
Spain 4795.52 490.83 1 in 209
Italy 3230.01 436.24 1 in 310
France 2412.96 338.08 1 in 414
Germany 1890.48 70.99 1 in 529
United Kingdom 2251.19 306.76 1 in 444
Turkey 1333.66 33.49 1 in 750
Iran 1100.64 69.62 1 in 909
China 60.54 3.34 1 in 16518
Russia 516.18 4.71 1 in 1937
Brazil 283.44 19.38 1 in 3528
Canada 1210.24 67.81 1 in 826
Belgium 3975.88 606.75 1 in 252
Netherlands 2176.02 257.51 1 in 460
Switzerland 3371.53 186.58 1 in 297
India 19.63 0.62 1 in 50945
Peru 787.41 21.76 1 in 1270
Portugal 2273.28 85.52 1 in 440
Ecuador 1366.97 34.66 1 in 732
Ireland 3842.86 220.08 1 in 260

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 155113 17126 11.04
Nassau New York 33798 1558 4.61
Suffolk New York 31368 1042 3.32
Cook Illinois 29058 1267 4.36
Westchester New York 27231 920 3.38
Los Angeles California 19133 895 4.68
Wayne Michigan 15407 1443 9.37
Bergen New Jersey 14738 954 6.47
Hudson New Jersey 13367 706 5.28
Essex New Jersey 12520 1019 8.14
Middlesex Massachusetts 12253 629 5.13
Philadelphia Pennsylvania 11877 449 3.78
Union New Jersey 11523 563 4.89
Suffolk Massachusetts 11218 391 3.49
Rockland New York 11091 453 4.08
Miami-Dade Florida 11005 295 2.68
Passaic New Jersey 10738 416 3.87
Fairfield Connecticut 10373 689 6.64
Middlesex New Jersey 10075 431 4.28
Orange New York 7973 274 3.44
Essex Massachusetts 7212 336 4.66
Oakland Michigan 6881 612 8.89
New Haven Connecticut 6509 416 6.39
Orleans Louisiana 6297 399 6.34
Jefferson Louisiana 6007 325 5.41
Ocean New Jersey 5811 317 5.46
King Washington 5739 400 6.97
Monmouth New Jersey 5521 287 5.20
Harris Texas 5482 84 1.53
Norfolk Massachusetts 5172 400 7.73
Macomb Michigan 5139 517 10.06
Providence Rhode Island 4916 0 0.00
Morris New Jersey 4821 347 7.20
Prince George’s Maryland 4795 173 3.61
Hartford Connecticut 4761 553 11.62
Marion Indiana 4727 255 5.39
Broward Florida 4659 162 3.48
Worcester Massachusetts 4460 183 4.10
Plymouth Massachusetts 4380 212 4.84
District of Columbia District of Columbia 3699 165 4.46
Montgomery Pennsylvania 3627 214 5.90
Clark Nevada 3570 174 4.87
Montgomery Maryland 3483 171 4.91
Riverside California 3315 112 3.38
Mercer New Jersey 3245 183 5.64
Maricopa Arizona 3234 121 3.74
Hampden Massachusetts 3229 315 9.76
Delaware Pennsylvania 3161 140 4.43
Somerset New Jersey 3030 219 7.23
San Diego California 2943 111 3.77

Overall US Choropleth Map

Choropleths are an ideal way to visualize the COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc